What can you learn from this video analytics page?
This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.
김켈리 Kellyfornia
@김켈리_kellyforniaSubscribers1.3M
Views7.3B
Videos4.7K
Last updated18 hours ago
김켈리 KellyforniaPublished at May 15, 2026 at 06:00 PM0:59
엄마랑 너무 똑같이 생긴 아들이 겪은 황당한 일! ㅋㅋㅋ #구독자사연
21 days agoLong-tail
엄마랑 너무 똑같이 생긴 아들이 겪은 황당한 일! ㅋㅋㅋ #구독자사연shorts
Published time
May 15, 2026 at 06:00 PM
Duration
0:59
Video type
Autos & Vehicles
Channel region
South Korea
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
No clear monetization tags yet
Focus on view growth, engagement quality, and topic competition to judge monetization potential.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
564.5K
Likes
13.5K
Comments
155
Estimated Daily Revenue
$0.27 - $1.06
Estimated Total Revenue
$13.55 - $54.19
RPM Range
$0.02 - $0.1
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
엄마랑 너무 똑같이 생긴 아들이 겪은 황당한 일! ㅋㅋㅋ #구독자사연
Video Description
No video description data yet.
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 엄마랑 너무 똑같이 생긴 아들이 겪은 황당한 일! ㅋㅋㅋ #구독자사연
Not enough related-topic video data yet.
Video FAQs
These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.
Why are RPM and revenue numbers estimates?
Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.
How should you use this page for content research?
Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.
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